Triple
T23592321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bjørvika Apartments |
E582514
|
entity |
| Predicate | locatedInWaterfrontDistrict |
P89005
|
FINISHED |
| Object | Bjørvika district |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bjørvika district | Statement: [Bjørvika Apartments, locatedInWaterfrontDistrict, Bjørvika district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInWaterfrontDistrict Context triple: [Bjørvika Apartments, locatedInWaterfrontDistrict, Bjørvika district]
-
A.
locatedInWaterfrontArea
chosen
Indicates that something is situated within a designated waterfront area adjacent to a body of water.
-
B.
locatedInWaterfrontTown
Indicates that the subject is situated within a town that is directly adjacent to or closely associated with a body of water, such as a sea, lake, or river.
-
C.
isCentralWaterfrontOf
Indicates that one location serves as the primary waterfront area or main waterside district of another place.
-
D.
isWaterfrontDistrict
Indicates that a district is located directly along a body of water, such as a river, lake, or coastline.
-
E.
hasWaterfrontAccessTo
Indicates that one entity is directly adjacent to and can physically access a particular body of water, such as a lake, river, or ocean.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e248f9e0a08190814772847003b1ff |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b08befcc819095e0e6052e6fe787 |
completed | April 29, 2026, 7:17 a.m. |
| PD | Predicate disambiguation | batch_69f118c96a0081908a8ac98ef7e7e60c |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:42 p.m.